Machine learning-based identification and rule-based normalization of adverse drug reactions in drug labels.
Journal:
BMC bioinformatics
Published Date:
Dec 23, 2019
Abstract
BACKGROUND: Use of medication can cause adverse drug reactions (ADRs), unwanted or unexpected events, which are a major safety concern. Drug labels, or prescribing information or package inserts, describe ADRs. Therefore, systematically identifying ADR information from drug labels is critical in multiple aspects; however, this task is challenging due to the nature of the natural language of drug labels.